01323naa a2200241 a 450000100080000000500110000800800410001902400400006010000190010024501130011926000090023252005310024165300260077265300260079865300240082465300340084870000250088270000190090770000190092670000200094570000220096577300940098720840412018-01-02       2017    bl uuuu     u00u1 u    #d7 a10.1590/1984- 70332017v17n4a532DOI1 aAZEVEDO, C. F.  aPopulation structure correction for genomic selection through eigenvector covariates.h[electronic resource]  c2017  aWe proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values was evaluated by independent cross-validation data sets. Other correction methods such as correction via principal components, best linear unbiased prediction, and deregressed phenotype were also evaluated. Based on different simulation scenarios, the proposed EVG out performed the other methods in the prediction of accuracy.  aDeregressed phenotype  aMendelian segregation  aPrincipal component  aShort-term genomic prediction1 aRESENDE, M. D. V. de1 aSILVA, F. F. e1 aNASCIMENTO, M.1 aVIANA, J. M. S.1 aVALENTE, M. S. F.  tCrop Breeding and Applied Biotechnology, Viçosagv. 17, n. 4, p.350-358, Oct./Dec. 2017.